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Benedetto Simone

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Book Open access Nov 2026

LOKI: Dual Domain Perturbation Network for Deepfake Detector Evasion

Deepfake forensic detectors have achieved remarkable performance on pristine synthetic images by exploiting spatial artifacts and frequency-domain inconsistencies. Yet, their reliability degrades substantially under realistic post-processing operations, such as compression, resizing and blurring, which are ubiquitous i...

Michele Nappi, Matteo Polsinelli, Benedetto Simone et al. · 0 citations
#machine learning Preprint Sep 2026

What Did the MLLM Hear? Token-Level Spectro-Temporal Grounding for Audio MLLM Explainability

STAG is introduced, to the authors' knowledge the first post-hoc framework for token-level spectro-temporal grounding of captions generated by audio-based MLLMs, and provides behavioral support for the faithfulness and selectivity of the explanations.

Lucia Cascone, V. Fraenza, Michele Nappi et al. · 0 citations

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